IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v60y2016icp1125-1139.html
   My bibliography  Save this article

Sensor application in Direct Methanol Fuel Cells (DMFCs)

Author

Listed:
  • Akbari, Elnaz
  • Buntat, Zolkafle
  • Nikoukar, Ali
  • Kheirandish, Azadeh
  • Khaledian, Mohsen
  • Afroozeh, Abdolkarim

Abstract

Liquid methanol, as an excellent electrochemical energy source, is suitable for developing Direct Methanol Fuel Cells (DMFCs) and is highly promising as a future power solution for the transportation industry. The overall efficiency of such DMFCs is primarily decided by the optimization of the operating conditions. This can be accomplished using high-quality sensors that precisely detect and measure the methanol concentration responsible for DMFCs׳ efficiency. Lately, several sensing methods are developed for accurate determination of methanol concentration. This paper provides a panoramic overview featuring diversified sensors exploited for methanol content assessments. Based on sensors׳ operational criteria, physical and electrochemical classifications are made to demonstrate their notable advantages and disadvantages. The introduction of sensor-less schemes in controlling methanol concentration is emphasized. Past advancements, present challenges and future trends in achieving superior DMFC sensors are underscored. Additionally, the significance of nanomaterials in creating DMFC electrodes is scrutinized.

Suggested Citation

  • Akbari, Elnaz & Buntat, Zolkafle & Nikoukar, Ali & Kheirandish, Azadeh & Khaledian, Mohsen & Afroozeh, Abdolkarim, 2016. "Sensor application in Direct Methanol Fuel Cells (DMFCs)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1125-1139.
    • Handle: RePEc:eee:rensus:v:60:y:2016:i:c:p:1125-1139
    DOI: 10.1016/j.rser.2016.02.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032116001878
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2016.02.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Abdul Rasheed, Raj Kamal & Chan, Siew Hwa, 2015. "Transient carbon monoxide poisoning kinetics during warm-up period of a high-temperature PEMFC – Physical model and parametric study," Applied Energy, Elsevier, vol. 140(C), pages 44-51.
    2. An, Myung-Gi & Mehmood, Asad & Ha, Heung Yong, 2014. "Sensor-less control of the methanol concentration of direct methanol fuel cells at varying ambient temperatures," Applied Energy, Elsevier, vol. 129(C), pages 104-111.
    3. Ali, Khozema Ahmed & Abdullah, Ahmad Zuhairi & Mohamed, Abdul Rahman, 2015. "Recent development in catalytic technologies for methanol synthesis from renewable sources: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 508-518.
    4. K. S. Novoselov & V. I. Fal′ko & L. Colombo & P. R. Gellert & M. G. Schwab & K. Kim, 2012. "A roadmap for graphene," Nature, Nature, vol. 490(7419), pages 192-200, October.
    5. Ali Javey & Jing Guo & Qian Wang & Mark Lundstrom & Hongjie Dai, 2003. "Ballistic carbon nanotube field-effect transistors," Nature, Nature, vol. 424(6949), pages 654-657, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kheirandish, Azadeh & Motlagh, Farid & Shafiabady, Niusha & Dahari, Mahidzal & Khairi Abdul Wahab, Ahmad, 2017. "Dynamic fuzzy cognitive network approach for modelling and control of PEM fuel cell for power electric bicycle system," Applied Energy, Elsevier, vol. 202(C), pages 20-31.
    2. Ghiabi, Caesar & Ghaffarinejad, Ali & Kazemi, Hojjat & Salahandish, Razieh, 2018. "In situ, one-step and co-electrodeposition of graphene supported dendritic and spherical nano-palladium-silver bimetallic catalyst on carbon cloth for electrooxidation of methanol in alkaline media," Renewable Energy, Elsevier, vol. 126(C), pages 1085-1092.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Şeker, Betül & Dizaji, Azam Khodadadi & Balci, Volkan & Uzun, Alper, 2021. "MCM-41-supported tungstophosphoric acid as an acid function for dimethyl ether synthesis from CO2 hydrogenation," Renewable Energy, Elsevier, vol. 171(C), pages 47-57.
    2. Liu, Guicheng & Li, Xinyang & Wang, Hui & Liu, Xiuying & Chen, Ming & Woo, Jae Young & Kim, Ji Young & Wang, Xindong & Lee, Joong Kee, 2017. "Design of 3-electrode system for in situ monitoring direct methanol fuel cells during long-time running test at high temperature," Applied Energy, Elsevier, vol. 197(C), pages 163-168.
    3. Kiani, Keivan, 2015. "Nanomechanical sensors based on elastically supported double-walled carbon nanotubes," Applied Mathematics and Computation, Elsevier, vol. 270(C), pages 216-241.
    4. Víctor Sanz i López & Ramon Costa-Castelló & Carles Batlle, 2022. "Literature Review of Energy Management in Combined Heat and Power Systems Based on High-Temperature Proton Exchange Membrane Fuel Cells for Residential Comfort Applications," Energies, MDPI, vol. 15(17), pages 1-22, September.
    5. Dehui Zhang & Zhen Xu & Gong Cheng & Zhe Liu & Audrey Rose Gutierrez & Wenzhe Zang & Theodore B. Norris & Zhaohui Zhong, 2022. "Strongly enhanced THz generation enabled by a graphene hot-carrier fast lane," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    6. Li, Yong & Song, Jian & Yang, Jie, 2015. "Graphene models and nano-scale characterization technologies for fuel cell vehicle electrodes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 66-77.
    7. Vemparala, Gayathri & Karumanchi, Bhavya & Begum, Sameena & Anupoju, Gangagni Rao, 2023. "Evaluating the potential of pectin de-esterifying bacterial cultures for the production of methanol from fruit waste: Optimization of critical operational parameters," Renewable Energy, Elsevier, vol. 217(C).
    8. Xiao-Ting Yin & En-Ming You & Ru-Yu Zhou & Li-Hong Zhu & Wei-Wei Wang & Kai-Xuan Li & De-Yin Wu & Yu Gu & Jian-Feng Li & Bing-Wei Mao & Jia-Wei Yan, 2024. "Unraveling the energy storage mechanism in graphene-based nonaqueous electrochemical capacitors by gap-enhanced Raman spectroscopy," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    9. Ling Ding & Tianqi Xu & Jiawen Zhang & Jinpeng Ji & Zhaotao Song & Yanan Zhang & Yijun Xu & Tong Liu & Yang Liu & Zihan Zhang & Wenbin Gong & Yunong Wang & Zhenzhong Shi & Renzhi Ma & Jianxin Geng & H, 2024. "Covalently bridging graphene edges for improving mechanical and electrical properties of fibers," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    10. Daniel Rueda-García & María del Rocío Rodríguez-Laguna & Emigdio Chávez-Angel & Deepak P. Dubal & Zahilia Cabán-Huertas & Raúl Benages-Vilau & Pedro Gómez-Romero, 2019. "From Thermal to Electroactive Graphene Nanofluids," Energies, MDPI, vol. 12(23), pages 1-11, November.
    11. Di Blasi, O. & Briguglio, N. & Busacca, C. & Ferraro, M. & Antonucci, V. & Di Blasi, A., 2015. "Electrochemical investigation of thermically treated graphene oxides as electrode materials for vanadium redox flow battery," Applied Energy, Elsevier, vol. 147(C), pages 74-81.
    12. An, Myung-Gi & Mehmood, Asad & Hwang, Jinyeon & Ha, Heung Yong, 2016. "A novel method of methanol concentration control through feedback of the amplitudes of output voltage fluctuations for direct methanol fuel cells," Energy, Elsevier, vol. 100(C), pages 217-226.
    13. Le Cheng & Chi Shun Yeung & Libei Huang & Ge Ye & Jie Yan & Wanpeng Li & Chunki Yiu & Fu-Rong Chen & Hanchen Shen & Ben Zhong Tang & Yang Ren & Xinge Yu & Ruquan Ye, 2024. "Flash healing of laser-induced graphene," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    14. Yang, Qinwen & Xiao, Gang & Li, Lexi & Che, Mengjie & Hu, Xu-Qu & Meng, Min, 2021. "Collaborative design of multi-type parameters for design and operational stage matching in fuel cells," Renewable Energy, Elsevier, vol. 175(C), pages 1101-1110.
    15. Calabriso, Andrea & Borello, Domenico & Romano, Giovanni Paolo & Cedola, Luca & Del Zotto, Luca & Santori, Simone Giovanni, 2017. "Bubbly flow mapping in the anode channel of a direct methanol fuel cell via PIV investigation," Applied Energy, Elsevier, vol. 185(P2), pages 1245-1255.
    16. Chen, Fengxiang & Chi, Xuncheng & Wei, Wei & Mo, Tiande & Li, Yu, 2023. "Model-based observer for direct methanol fuel cell concentration estimation by using second-order sliding-mode algorithm," Energy, Elsevier, vol. 263(PD).
    17. Christos Kalantaridis, 2019. "Is university ownership a sub-optimal property rights regime for commercialisation? Information conditions and entrepreneurship in Greater Manchester, England," The Journal of Technology Transfer, Springer, vol. 44(1), pages 231-249, February.
    18. Dehua Yang & Linhai Li & Xiao Li & Wei Xi & Yuejuan Zhang & Yumin Liu & Xiaojun Wei & Weiya Zhou & Fei Wei & Sishen Xie & Huaping Liu, 2023. "Preparing high-concentration individualized carbon nanotubes for industrial separation of multiple single-chirality species," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    19. Pourfath, M. & Kosina, H. & Selberherr, S., 2008. "Numerical study of quantum transport in carbon nanotube transistors," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(4), pages 1051-1059.
    20. Deng, Shutong & Zhang, Jun & Zhang, Caizhi & Luo, Mengzhu & Ni, Meng & Li, Yu & Zeng, Tao, 2022. "Prediction and optimization of gas distribution quality for high-temperature PEMFC based on data-driven surrogate model," Applied Energy, Elsevier, vol. 327(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:60:y:2016:i:c:p:1125-1139. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.